1 code implementation • 28 Nov 2018 • Ragunathan Mariappan, Vaibhav Rajan
In this paper, we develop the first deep-learning based method, called dCMF, for unsupervised learning of multiple shared representations, that can model such non-linear interactions, from an arbitrary collection of matrices.
1 code implementation • 12 Sep 2020 • Ragunathan Mariappan, Siva Rajesh Kasa, Vaibhav Rajan
We present the first deep learning based architecture for collective matrix tri-factorization (DCMTF) of arbitrary collections of matrices, also known as augmented multi-view data.
no code implementations • 27 Sep 2021 • Ragunathan Mariappan, Vaibhav Rajan
Heterogeneous multi-typed, multimodal relational data is increasingly available in many domains and their exploratory analysis poses several challenges.